Auto-generated comparison

Google: Gemma 3 12B vs meta-llama/Llama-3.1-8B-Instruct

Google: Gemma 3 12B and meta-llama/Llama-3.1-8B-Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 3 12Bmeta-llama/Llama-3.1-8B-InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.05Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.08🏆 meta-llama/Llama-3.1-8B-Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 3 12B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemma 3 12B better than meta-llama/Llama-3.1-8B-Instruct?

Google: Gemma 3 12B and meta-llama/Llama-3.1-8B-Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemma 3 12B and meta-llama/Llama-3.1-8B-Instruct?

Input: $0.05 vs $0.05 per 1M tokens. Output: $0.15 vs $0.08 per 1M tokens.

What context windows do Google: Gemma 3 12B and meta-llama/Llama-3.1-8B-Instruct support?

Google: Gemma 3 12B supports up to 131K tokens. meta-llama/Llama-3.1-8B-Instruct supports up to 131K tokens.

Do both Google: Gemma 3 12B and meta-llama/Llama-3.1-8B-Instruct support tool calling?

Google: Gemma 3 12B: yes. meta-llama/Llama-3.1-8B-Instruct: yes.

Compare Google: Gemma 3 12B with other models

Compare meta-llama/Llama-3.1-8B-Instruct with other models